Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
Cortex Data Lake (CDL) enables AI-based innovations for cybersecurity with the industry’s only approach to normalizing and stitching together an enterprise’s data. Cortex Data Lake can:
Radically simplify customer security operations by collecting, integrating, and normalizing an enterprise’s security data
Effortlessly run advanced AI and machine learning with cloud-scale data and compute
Constantly learns from new data sources to evolve customer defenses
Your Impact
Tackle new and challenging problems by building a new generation of highly scaled data processing and analytics systems for use in AI-powered use cases
Contribute in architecture, design and development of features
Solve complex problems in pipeline scaling and data storage to facilitate AI/ML analytics and AI-powered dashboards
Suggest and implement improvements to the development processes
Work with DevOps and Technical Support teams to investigate and resolve critical customer defects
Your Experience
Must have:
- 8+ years of hands-on experience in building large enterprise applications
- Must have extensive hands-on programming skills in Java and distributed systems
- Deep understanding of design patterns
- Good communication skills and ability to work in a fast-paced environment
Nice to have:
Strong knowledge of databases SQL, NoSQL, Time series, GraphDB etc
Experience with one or more cloud platforms such as AWS, GCP , their services (DataFlow, BQ, Athena etc) and Kubernetes
Knowledge of Linux fundamentals and networked computing environment concepts
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
All your information will be kept confidential according to EEO guidelines.
All your information will be kept confidential according to EEO guidelines.
